La construction de la parole du personnage dans le texte en cours de production
Bibliographic record
Abstract
Cet article décrit les cas de discours rapporté (DR) pendant la production de contes étiologiques inventés par une dyade d’élèves (sept ans). Nous mettrons en évidence les types de DR pour un ensemble de dix manuscrits et nous illustrerons la genèse du DR d’un processus d’écriture, depuis sa formulation initiale jusqu’à sa textualisation. Dans le cadre théorique de la génétique textuelle et de la linguistique d’énonciation, nous verrons le contexte de la rédaction pendant sa construction, en observant le rôle de chacun des élèves. Nous soulignerons que le nombre plus important de DR, 113 à l’oral pour 29 à l’écrit, semble être lié à la complexité des formes graphiques et énonciatives du DR à l’écrit, étant donné la perte de leurs possibilités d’énonciation.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.017 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.004 | 0.005 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.009 | 0.002 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".